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Results for “information” · papers 18 · wiki 11
Academic Papers · 18arXiv q-fin live 0 · desk corpus 194
OpenAlex · Journal of Financial and Quantitative Analysis · 2010 · cites 174

Information Shocks, Liquidity Shocks, Jumps, and Price Discovery: Evidence from the U.S. Treasury Market

Abstract In this paper, we identify jumps in U.S. Treasury-bond (T-bond) prices and investigate what causes such unexpected large price changes. In particular, we examine the relative importance of macroeconomic news announcements versus variation in market liquidity in explaining the observed jumps in the U.S. Treasury market. We show that while jumps occur mostly at prescheduled macroeconomic announcement times, an

George J. Jiang, Ingrid Lo, Adrien Verdelhan
OpenAlex · The Journal of Finance · 1999 · cites 731

Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information

The arrival of public information in the U.S. Treasury market sets off a two‐stage adjustment process for prices, trading volume, and bid‐ask spreads. In a brief first stage, the release of a major macroeconomic announcement induces a sharp and nearly instantaneous price change with a reduction in trading volume, demonstrating that price reactions to public information do not require trading. The spread widens dramat

Michael J. Fleming, Eli M. Remolona
arXiv · arXiv · 2026

The Information Dynamics of Insider Intent: How Reporting Inversions (Form 144) Mask Informational Rents in Insider Sales (Form 4)

This study identifies and quantifies a significant informational friction embedded in the SEC Form 144 disclosure regime, characterized as predictive decoupling. Drawing on a theoretical foundation of welfare economics, the article argues that the current reporting inversion -- where trade execution (Form 4) frequently precedes the public notice of intent (Form 144) -- violates the conditions for Pareto efficiency by

Krishna Neupane
arXiv · arXiv · 2024

Unwinding Toxic Flow with Partial Information

We consider a central trading desk which aggregates the inflow of clients' orders with unobserved toxicity, i.e. persistent adverse directionality. The desk chooses either to internalise the inflow or externalise it to the market in a cost effective manner. In this model, externalising the order flow creates both price impact costs and an additional market feedback reaction for the inflow of trades. The desk's object

Alexander Barzykin, Robert Boyce, Eyal Neuman
arXiv · arXiv · 2023

Information Content of Financial Youtube Channel: Case Study of 3PROTV and Korean Stock Market

We investigate the information content of 3PROTV, a south Korean financial youtube channel. In our sample we found evidence for the hypothesis that the channel have information content on stock selection, but only on negative sentiment. Positively mentioned stock had pre-announcement spike followed by steep fall in stock price around announcement period. Negatively mentioned stock started underperforming around the a

HyeonJun Kim
arXiv · arXiv · 2022

Measuring price impact and information content of trades in a time-varying setting

We propose a non-linear observation-driven version of the Hasbrouck (1991) model for dynamically estimating trades' market impact and information content. We find that market impact displays an intraday pattern superimposed with large fluctuations. Some of them are exogenous, and, as an example, we investigate market impact dynamics around FOMC announcements. Contrary to Hasbrouck (1991), we find that the information

F. Campigli, G. Bormetti, F. Lillo
arXiv · arXiv · 2022

Integrating multiple sources of ordinal information in portfolio optimization

Active portfolio management tries to incorporate any source of meaningful information into the asset selection process. In this contribution we consider qualitative views specified as total orders of the expected asset returns and discuss two different approaches for incorporating this input in a mean-variance portfolio optimization model. In the robust optimization approach we first compute a posterior expectation o

Eranda Çela, Stephan Hafner, Roland Mestel, Ulrich Pferschy
arXiv · arXiv · 2017

Microstructure under the Microscope: Tools to Survive and Thrive in The Age of (Too Much) Information

Market Microstructure is the investigation of the process and protocols that govern the exchange of assets with the objective of reducing frictions that can impede the transfer. In financial markets, where there is an abundance of recorded information, this translates to the study of the dynamic relationships between observed variables, such as price, volume and spread, and hidden constituents, such as transaction co

Ravi Kashyap
arXiv · arXiv · 2016

Trading against disorderly liquidation of a large position under asymmetric information and market impact

We consider trading against a hedge fund or large trader that must liquidate a large position in a risky asset if the market price of the asset crosses a certain threshold. Liquidation occurs in a disorderly manner and negatively impacts the market price of the asset. We consider the perspective of small investors whose trades do not induce market impact and who possess different levels of information about the liqui

Caroline Hillairet, Cody Hyndman, Ying Jiao, Renjie Wang
arXiv · arXiv · 2015

Efficiency and credit ratings: a permutation-information-theory analysis

The role of credit rating agencies has been under severe scrutiny after the subprime crisis. In this paper we explore the relationship between credit ratings and informational efficiency of a sample of thirty nine corporate bonds of US oil and energy companies from April 2008 to November 2012. For that purpose, we use a powerful statistical tool relatively new in the financial literature: the complexity-entropy causa

Aurelio F. Bariviera, Luciano Zunino, M. Belen Guercio, Lisana B. Martinez, Osvaldo A. Rosso
arXiv · arXiv · 2010

Modelling Information Flows in Financial Markets

This paper presents an overview of information-based asset pricing. In this approach, an asset is defined by its cash-flow structure. The market is assumed to have access to "partial" information about future cash flows. Each cash flow is determined by a collection of independent market factors called X-factors. The market filtration is generated by a set of information processes, each of which carries information ab

Dorje C. Brody, Lane P. Hughston, Andrea Macrina
arXiv · arXiv · 2026

An Information-Geometric Framework for Bayesian Credit Risk Monitoring

We propose an information-geometric framework for credit risk monitoring in which a bank's knowledge of a borrower is represented by a posterior distribution over latent dimensions of creditworthiness and financial fragility. Under a linear-Gaussian specification, Bayesian updating maps observed behavioural scores into Gaussian posterior beliefs, which form a statistical manifold endowed with the Fisher information m

Lorenzo Quirini
arXiv · arXiv · 2026

Herding, Momentum, and Reversal in China's A-Share Market: An Agent-Based Network Model with Information Diffusion

This study develops an agent-based financial market model to explain stock-price momentum and reversal through the joint effects of local herding and delayed information diffusion. Investors form heterogeneous Gaussian beliefs about the next-period price, choose among buying, selling, and remaining inactive, and revise their action probabilities in response to neighboring investors. The local interaction structure is

Jiahao Weng
arXiv · arXiv · 2026

Minimum-Distortion Wealth Taxation, I: Information-Theoretic versus Transport-Geometric Optimality on the Proportional Class

We characterise minimum-distortion wealth taxation under two contrasting normative criteria within a Fokker-Planck framework on log-wealth: the JKO free-energy gap, an information-theoretic measure aligned with the Mirrleesian decision-distortion tradition, and the squared 2-Wasserstein distance from the no-tax distribution at horizon $T$, a transport-geometric measure aligned with the Saez-Zucman distributional-comp

Anders G Frøseth
arXiv · arXiv · 2026

A Frequency-Controlled Comparison of Tick- and Minute-Based Information Bars for Cryptocurrency Markets

This paper provides a controlled comparison of six information bar types (dollar, volume, volatility, range, Renko, and hybrid bars) constructed from both raw Binance aggTrade tick data and one-minute OHLCV bars for the BTCUSDT USDT-margined perpetual futures market over a six-year period spanning January 2020 to December 2025, and evaluated against fixed-interval time-bar baselines. Both pipelines share a common ada

Muhammad Toheed Fayyaz, Abdul Jabbar, Faheem Ahmad Qureshi, Syed Qaisar Jalil
arXiv · arXiv · 2026

Causal Separation in Portfolio Choice: Screening-Off Information and Conditional Risk

Conditional portfolio choice depends on the information used to define conditional moments, yet that information is typically taken as given. We introduce causal separation for portfolio choice: a portfolio-information principle in which horizon-closed conditioning screens asset returns into mutually conditionally independent components, with a common-cause structural model providing its causal interpretation. Exact

Alejandro Rodriguez Dominguez
arXiv · arXiv · 2026

Single-Period Portfolio Selection via Information Projection

We study the single-period portfolio selection problem under Constant Relative Risk-Aversion (CRRA) utility through the information-theoretic lens. Assuming only that the market payoff vector has finite support, we show that the Certainty-Equivalent (CE) growth rate under CRRA utility can be decomposed into a portfolio-induced Rényi divergence term, a Rényi entropy term of the risk-tilted market law, and a log-partit

Bo-Yu Yang, Michael Gastpar
arXiv · arXiv · 2026

Per-Market Information Leakage and Order-Flow Skill: Two Methodological Lenses on Informed Trading in Decentralized Prediction Markets

April 2026 saw notable methodological convergence in the academic study of informed trading on decentralized prediction markets. Three approaches surfaced almost simultaneously: Mitts and Ofir (2026) apply a composite screen to over 210,000 wallet-market pairs; Gomez-Cram et al. (2026) apply an event-level sign-randomization test to Polymarket's complete transaction history, classifying 3.14% of accounts as "skilled

Maksym Nechepurenko
Wiki Entities · 11
AI Systems

Long Short-Term Memory

LSTM is a gated RNN whose cell state can carry information across many steps, with input, forget, and output gates trained by gradient descent.

AI Systems

Self-Attention

Self-attention is attention where queries, keys, and values all come from the same sequence, so each position can mix information from every other position in one layer.

Desk Slang

Priced In

Priced in means the event or path is already in the forwards, the curve, or the multiple — so the announcement is not new information unless it surprises that path.

Mathematics

Entropy

Shannon entropy H(P) = −Σ p log p is the expected surprise of a distribution — a measure of uncertainty used in information theory, portfolio tilts, and some max-ent priors.

Mathematics

Kullback–Leibler Divergence

KL divergence KL(P‖Q) = E_P[log dP/dQ] is the expected extra log-loss from using Q when the truth is P — the loss behind cross-entropy training and many variational methods.

Mathematics

Law of Iterated Expectations

The law of iterated expectations says E[E[X | finer info]] = E[X | coarser info] — you cannot improve an expectation by forgetting information, and towers of forecasts must nest.

Mathematics

Martingale

A martingale is a process whose conditional expectation of the future, given the present, is the present — ‘fair game’ under that information and that measure.

Quant

Efficient Market Hypothesis

EMH says prices reflect available information so that you cannot systematically earn risk-adjusted profits from that information — a benchmark, not a religion.

Quant

Herding

Herding is correlated action because others are acting — information cascades, career risk, or indexation, not independent theses that happen to agree.

Quant

Information Ratio

The information ratio is active return over active risk — residual performance per unit of tracking error versus a benchmark.

Strategies

Lexical Density of Company Filings

Score filings on information density (less boilerplate, more content words) and sort the cross-section on that score.

Option Blackboard · 0
No Option Blackboard entries matched.
Encyclopedia · 10
Quant · Foundations

Efficient Market Hypothesis

EMH says prices reflect available information so that you cannot systematically earn risk-adjusted profits from that information — a benchmark, not a religion.

Mathematics · Foundations

Entropy

Shannon entropy H(P) = −Σ p log p is the expected surprise of a distribution — a measure of uncertainty used in information theory, portfolio tilts, and some max-ent priors.

Quant · Foundations

Herding

Herding is correlated action because others are acting — information cascades, career risk, or indexation, not independent theses that happen to agree.

Quant · Foundations

Information Ratio

The information ratio is active return over active risk — residual performance per unit of tracking error versus a benchmark.

Mathematics · Foundations

Law of Iterated Expectations

The law of iterated expectations says E[E[X | finer info]] = E[X | coarser info] — you cannot improve an expectation by forgetting information, and towers of forecasts must nest.

Strategies · Foundations

Lexical Density of Company Filings

Score filings on information density (less boilerplate, more content words) and sort the cross-section on that score.

AI Systems · Foundations

Long Short-Term Memory

LSTM is a gated RNN whose cell state can carry information across many steps, with input, forget, and output gates trained by gradient descent.

Mathematics · Foundations

Martingale

A martingale is a process whose conditional expectation of the future, given the present, is the present — ‘fair game’ under that information and that measure.

Desk Slang · Foundations

Priced In

Priced in means the event or path is already in the forwards, the curve, or the multiple — so the announcement is not new information unless it surprises that path.

AI Systems · Foundations

Self-Attention

Self-attention is attention where queries, keys, and values all come from the same sequence, so each position can mix information from every other position in one layer.

Cards · 0
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